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Database ⇄ CRM

AWS Aurora PostgreSQL to Close integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and Close in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora PostgreSQL and Close

Treat Close like part of your database: its records live in AWS Aurora PostgreSQL as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in AWS Aurora PostgreSQL, where it can be queried and joined like everything else.

Stacksync mirrors Contacts, Opportunities, Activities, Tasks from Close into Tables, Rows, Columns, Primary keys and constraints in AWS Aurora PostgreSQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Close with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • Keep Close contacts aligned with a marketing automation platform so outreach lists stay current.
  • Push call, SMS, and email activity data into a warehouse for rep performance and outreach-cadence analysis.
  • Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • Feed operational dashboards from a read replica while the writer handles sync traffic.

Query the CRM like a database

Accounts, contacts, and custom objects from Close become tables in AWS Aurora PostgreSQL you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in Close, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Close API, limits, and retries.

What you can sync between AWS Aurora PostgreSQL and Close

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

AWS Aurora PostgreSQL objects Close objects
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Smart Views Saved lead searches that can scope which records a segment-based sync pulls.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Leads The top-level record in Close; represents a company and holds its contacts, opportunities, and activity history.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Contacts People nested under a lead, with emails and phone numbers used for outreach syncs.
Replication slots and publications The logical replication objects that power log-based CDC. Opportunities Deal records with value, confidence, and status; commonly synced to reporting and billing systems.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Activities Calls, emails, SMS, notes, and meetings logged against a lead; the source for engagement analytics.
Tables The core sync unit; rows are matched across systems by primary key. Tasks Follow-up items assigned to users; synced for workload and SLA reporting.
What ships with AWS Aurora PostgreSQL ⇄ Close

Connect AWS Aurora PostgreSQL and Close for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Close connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Close instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Close data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Close record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Close sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Close.

How the AWS Aurora PostgreSQL and Close connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

Close

Integration surface
REST API
Authentication
API key (sent via HTTP Basic auth)
Change detection
Webhook subscriptions for record events, with polling on date_updated fields for backfills
Capabilities
read · write · webhooks
Rate limits
Subject to per-endpoint rate limits communicated in response headers
How it works

How to connect AWS Aurora PostgreSQL to Close — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate AWS Aurora PostgreSQL and Close with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora PostgreSQL connected
    Close connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Close objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora PostgreSQL ⇄ Close
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora PostgreSQL Close
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Close integration FAQ

SECURITY

Security teams love Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and Close.

Popular · 8 of 386
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